Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization
-
Updated
Nov 3, 2020 - Python
Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization
YOLOv4 Pytorch implementation with all freebies and specials and 15+ more exclusive improvements. Easy to use!
Gluon implementation of channel-attention modules: SE, ECA, GCT
Add a description, image, and links to the eca topic page so that developers can more easily learn about it.
To associate your repository with the eca topic, visit your repo's landing page and select "manage topics."